{"type": "FeatureCollection", "facets": {"type": {"type": "terms", "property": "type", "buckets": [{"value": "Journal Article", "count": 10}, {"value": "Dataset", "count": 2}, {"value": "Report", "count": 1}]}, "soil_chemical_properties": {"type": "terms", "property": "soil_chemical_properties", "buckets": [{"value": "carbon", "count": 2}]}, "soil_biological_properties": {"type": "terms", "property": "soil_biological_properties", "buckets": []}, "soil_physical_properties": {"type": "terms", "property": "soil_physical_properties", "buckets": [{"value": "water", "count": 1}]}, "soil_classification": {"type": "terms", "property": "soil_classification", "buckets": []}, "soil_functions": {"type": "terms", "property": "soil_functions", "buckets": [{"value": "food production", "count": 13}]}, "soil_threats": {"type": "terms", "property": "soil_threats", "buckets": []}, "soil_processes": {"type": "terms", "property": "soil_processes", "buckets": [{"value": "greenhouse gas emissions", "count": 1}]}, "soil_management": {"type": "terms", "property": "soil_management", "buckets": []}, "ecosystem_services": {"type": "terms", "property": "ecosystem_services", "buckets": []}}, "features": [{"id": "10.1007/s11367-012-0521-9", "type": "Feature", "geometry": null, "properties": {"license": "Restricted", "updated": "2026-04-04T16:15:19Z", "type": "Journal Article", "created": "2012-10-29", "title": "Exploring Variability In Methods And Data Sensitivity In Carbon Footprints Of Feed Ingredients", "description": "Production of feed is an important contributor to life cycle greenhouse gas emissions, or carbon footprints (CFPs), of livestock products. Consequences of methodological choices and data sensitivity on CFPs of feed ingredients were explored to improve comparison and interpretation of CFP studies. Methods and data for emissions from cultivation and processing, land use (LU), and land use change (LUC) were analyzed. For six ingredients (maize, wheat, palm kernel expeller, rapeseed meal, soybean meal, and beet pulp), CFPs resulting from a single change in methods and data were compared with a reference CFP, i.e., based on IPCC Tier 1 methods, and data from literature. Results show that using more detailed methods to compute N2O emissions from cultivation hardly affected reference CFPs, except for methods to determine leaching (contributing to indirect N2O emissions) in which the influence is about -7 to +12 %. Overall, CFPs appeared most sensitive to changes in crop yield and applied synthetic fertilizer N. The inclusion of LULUC emissions can change CFPs considerably, i.e., up to 877 %. The level of LUC emissions per feed ingredient highly depends on the method chosen, as well as on assumptions on area of LUC, C stock levels (mainly aboveground C and soil C), and amortization period. We concluded that variability in methods and data can significantly affect CFPs of feed ingredients and hence CFPs of livestock products. Transparency in methods and data is therefore required. For harmonization, focus should be on methods to calculate leaching and emissions from LULUC. It is important to consider LUC in CFP studies of food, feed, and bioenergy products.", "keywords": ["INDICATORS", "life-cycle assessment", "571", "egg-production systems", "[SDV]Life Sciences [q-bio]", "NETHERLANDS", "milk-production", "netherlands", "EGG-PRODUCTION SYSTEMS", "MITIGATION", "7. Clean energy", "01 natural sciences", "12. Responsible consumption", "land-use change", "mitigation", "Methods", "deforestation", "0105 earth and related environmental sciences", "Feed ingredients", "2. Zero hunger", "GREENHOUSE-GAS EMISSIONS", "Livestock products", "0402 animal and dairy science", "LAND-USE CHANGE", "04 agricultural and veterinary sciences", "Feed production", "15. Life on land", "greenhouse-gas emissions", "Carbon footprint", "indicators", "pig production", "[SDV] Life Sciences [q-bio]", "LIFE-CYCLE ASSESSMENT", "PIG PRODUCTION", "13. Climate action", "Inventory data", "DEFORESTATION", "MILK-PRODUCTION"]}, "links": [{"href": "https://doi.org/10.1007/s11367-012-0521-9"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20International%20Journal%20of%20Life%20Cycle%20Assessment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11367-012-0521-9", "name": "item", "description": "10.1007/s11367-012-0521-9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11367-012-0521-9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-10-30T00:00:00Z"}}, {"id": "10.1051/forest:2004062", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:18:13Z", "type": "Journal Article", "created": "2004-12-08", "title": "Fine Root Distribution, Seasonal Pattern And Production In Four Plantations Compared With A Natural Forest In Subtropical China", "description": "Open AccessR\u00e9partition et production de radicelles et \u00e9volutions saisonni\u00e8res dans quatre plantations en comparaison avec une for\u00eat naturelle, en Chine tropicale. La r\u00e9partition, l'\u00e9volution selon les saisons et la production nette de radicelles (< 2 mm en diam\u00e8tre) ont \u00e9t\u00e9 \u00e9tudi\u00e9es de 1999 \u00e0 2001 dans deux plantations \u00e2g\u00e9es de 33 ans de deux conif\u00e8res, le sapin de Chine (Cunninghamia lancolata, CF) et Fokienia hodginsii (FH) ainsi que dans deux plantations de feuillus, Ormosia xylocarpa (OX) et Castanopsis kawakamii (CK). Celles-ci ont \u00e9t\u00e9 compar\u00e9es \u00e0 une for\u00eat naturelle voisine de Castanopsis kawakamii (NF, 150 ans) \u00e0 Samming, Fujian, Chine. La biomasse et la n\u00e9cromasse de radicelles ont \u00e9t\u00e9 obtenues par carottage dans le sol effectu\u00e9 deux fois par mois. Les carottes de sol ont \u00e9t\u00e9 divis\u00e9es en 10 \u00e9l\u00e9ments selon la profondeur\u00a0: 0 ~ 10, 10 ~ 20, 20 ~ 30, 30 ~ 40, 40 ~ 50, 50 ~ 60, 60 ~ 70, 70 ~ 80, 80 ~ 90, et 90 ~ 100 cm. On a utilis\u00e9 des sacs \u00e0 liti\u00e8re (18 \u00d7 18 cm2, maille de 0,25 mm) pour d\u00e9terminer le taux de d\u00e9composition des radicelles (< 0,5 mm, 0,5-1 mm, 1-2 mm). Les taux de production moyenne annuelle, de mortalit\u00e9, de d\u00e9composition et de turnover des radicelles ont \u00e9t\u00e9 calcul\u00e9s par la m\u00e9thode de '\u00a0compartment flow\u00a0'. La biomasse moyenne de radicelles va de 1,49 Mg/ha dans le CF \u00e0 4,94 Mg/ha pour le NF\u00a0; elle d\u00e9cro\u00eet dans l'ordre suivant\u00a0: NF > CK > FH > OX > CF. On a enregistr\u00e9 des diff\u00e9rences significatives de biomasse et n\u00e9cromasse, selon les saisons dans tous les peuplements (P < 0,05), tandis qu'aucune fluctuation n'a pu \u00eatre mise en \u00e9vidence entre ann\u00e9es (P > 0,05). Pour tous les peuplements, on enregistre un pic de biomasse de radicelles au d\u00e9but du printemps (mars), les valeurs minimum intervenant au cours d'\u00e9t\u00e9s secs ou d'hivers froids. Pour le NF, 59,8 % de la biomasse de radicelles se situe dans la zone superficielle du sol (0-10 cm) o\u00f9 les diff\u00e9rences de biomasse de radicelles entre peuplements sont les plus marqu\u00e9es, les valeurs pour NF \u00e9tant respectivement 2,37 fois, 3,55 fois, 8,12 fois et 17,12 fois plus \u00e9lev\u00e9es que celles de CK, FH, CF, et OX. Les pourcentages de la biomasse d'origine, perdue pendant la premi\u00e8re ann\u00e9e de d\u00e9composition, vont de 43 % \u00e0 56 % pour FH, de 68 \u00e0 80 % pour NF. Les moyennes annuelles de d\u00e9composition, mortalit\u00e9 et production des racines s'\u00e9tagent entre 8,47 Mg ha-1 a-1, 8,63\u00a0Mg\u00a0ha-1\u00a0a-1 et 9,5 Mg ha-1 a-1 dans le NF \u00e0 2,50, 2,49 et 2,51 Mg ha-1 a-1 pour le CF, avec par ordre d\u00e9croissant, NF > CK > FH > OX > CF. Le taux de turnover de racines va de 1,48 a-1 pour FH \u00e0 1,78 a-1 pour NF.", "keywords": ["monoculture plantation<br>---<br>radicelle", "0106 biological sciences", "root distribution", "seasonal pattern", "root mortality", "fine root", "01 natural sciences", "root turnover", "for\u00eat naturelle", "turnover racinaire", "mortalit\u00e9 racinaire", "plantation en monoculture", "distribution", "r\u00e9partition des racines", "580", "2. Zero hunger", "04 agricultural and veterinary sciences", "production racinaire", "15. Life on land", "root", "natural forest", "monoculture plantation", "variation saisonni\u00e8re", "0401 agriculture", " forestry", " and fisheries", "[SDV.SA.SF] Life Sciences [q-bio]/Agricultural sciences/Silviculture", " forestry", "root production"], "contacts": [{"organization": "Yang, YS\uff08Dept. of Geography Science, Fujian Normal University\uff09, Chen, GS\uff08Dept. of Geography Science, Fujian Normal University\uff09, Lin, P, Xie, JS\uff08Dept. of Forestry, Fujian Agriculture and Forestry University\uff09, Guo, JF\uff08Dept. of Geography Science, Fujian Normal University\uff09,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1051/forest:2004062"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Annals%20of%20Forest%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1051/forest:2004062", "name": "item", "description": "10.1051/forest:2004062", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1051/forest:2004062"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2004-10-01T00:00:00Z"}}, {"id": "10.1073/pnas.0706518104", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:18:20Z", "type": "Journal Article", "created": "2007-08-21", "title": "Increases In Nitrogen Uptake Rather Than Nitrogen-Use Efficiency Support Higher Rates Of Temperate Forest Productivity Under Elevated Co2", "description": "<p>             Forest ecosystems are important sinks for rising concentrations of atmospheric CO             2             . In previous research, we showed that net primary production (NPP) increased by 23 \uffc2\uffb1 2% when four experimental forests were grown under atmospheric concentrations of CO             2             predicted for the latter half of this century. Because nitrogen (N) availability commonly limits forest productivity, some combination of increased N uptake from the soil and more efficient use of the N already assimilated by trees is necessary to sustain the high rates of forest NPP under free-air CO             2             enrichment (FACE). In this study, experimental evidence demonstrates that the uptake of N increased under elevated CO             2             at the Rhinelander, Duke, and Oak Ridge National Laboratory FACE sites, yet fertilization studies at the Duke and Oak Ridge National Laboratory FACE sites showed that tree growth and forest NPP were strongly limited by N availability. By contrast, nitrogen-use efficiency increased under elevated CO             2             at the POP-EUROFACE site, where fertilization studies showed that N was not limiting to tree growth. Some combination of increasing fine root production, increased rates of soil organic matter decomposition, and increased allocation of carbon (C) to mycorrhizal fungi is likely to account for greater N uptake under elevated CO             2             . Regardless of the specific mechanism, this analysis shows that the larger quantities of C entering the below-ground system under elevated CO             2             result in greater N uptake, even in N-limited ecosystems. Biogeochemical models must be reformulated to allow C transfers below ground that result in additional N uptake under elevated CO             2             .           </p>", "keywords": ["rotation poplar plantation", "0106 biological sciences", "Nitrogen", "Climate", "atmospheric carbon-dioxide", "enrichment face", "organic nitrogen", "Biological Transport", "deciduous forest", "04 agricultural and veterinary sciences", "Carbon Dioxide", "15. Life on land", "01 natural sciences", "Trees", "Kinetics", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "populus-tremuloides", "community composition", "soil-n availability", "fine-root production", "Ecosystem", "ecosystem responses"]}, "links": [{"href": "https://doi.org/10.1073/pnas.0706518104"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%20National%20Academy%20of%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1073/pnas.0706518104", "name": "item", "description": "10.1073/pnas.0706518104", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1073/pnas.0706518104"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-08-28T00:00:00Z"}}, {"id": "10.1098/rstb.2007.0031", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:18:45Z", "type": "Journal Article", "created": "2008-02-16", "title": "Drought Effects On Litterfall, Wood Production And Belowground Carbon Cycling In An Amazon Forest: Results Of A Throughfall Reduction Experiment", "description": "<p>             The Amazon Basin experiences severe droughts that may become more common in the future. Little is known of the effects of such droughts on Amazon forest productivity and carbon allocation. We tested the prediction that severe drought decreases litterfall and wood production but potentially has multiple cancelling effects on belowground production within a 7-year partial throughfall exclusion experiment. We simulated an approximately 35\uffe2\uff80\uff9341% reduction in effective rainfall from 2000 through 2004 in a 1\uffe2\uff80\uff8aha plot and compared forest response with a similar control plot. Wood production was the most sensitive component of above-ground net primary productivity (ANPP) to drought, declining by 13% the first year and up to 62% thereafter. Litterfall declined only in the third year of drought, with a maximum difference of 23% below the control plot. Soil CO             2             efflux and its             14             C signature showed no significant treatment response, suggesting similar amounts and sources of belowground production. ANPP was similar between plots in 2000 and declined to a low of 41% below the control plot during the subsequent treatment years, rebounding to only a 10% difference during the first post-treatment year. Live aboveground carbon declined by 32.5\uffe2\uff80\uff8aMg\uffe2\uff80\uff8aha             \uffe2\uff88\uff921             through the effects of drought on ANPP and tree mortality. Results of this unreplicated, long-term, large-scale ecosystem manipulation experiment demonstrate that multi-year severe drought can substantially reduce Amazon forest carbon stocks.           </p>", "keywords": ["0106 biological sciences", "Time Factors", "wood production", "above-ground net primary productivity", "drought", "Medical and Health Sciences", "01 natural sciences", "Trees", "Disasters", "Soil", "Amazon", "litterfall", "global change", "Ecosystem", "2. Zero hunger", "Evolutionary Biology", "Tropical Climate", "Water", "Biological Sciences", "Carbon Dioxide", "15. Life on land", "Wood", "Carbon", "6. Clean water", "13. Climate action", "Research Article"]}, "links": [{"href": "https://escholarship.org/content/qt1b27s752/qt1b27s752.pdf"}, {"href": "https://doi.org/10.1098/rstb.2007.0031"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Philosophical%20Transactions%20of%20the%20Royal%20Society%20B%3A%20Biological%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1098/rstb.2007.0031", "name": "item", "description": "10.1098/rstb.2007.0031", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1098/rstb.2007.0031"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2008-02-11T00:00:00Z"}}, {"id": "10.1111/j.1365-3040.2010.02201.x", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:19:14Z", "type": "Journal Article", "created": "2010-06-21", "title": "Soil [N] modulates soil C cycling in CO2-fumigated tree stands: a meta-analysis", "description": "ABSTRACT<p>Under elevated atmospheric CO2 concentrations, soil carbon (C) inputs are typically enhanced, suggesting larger soil C sequestration potential. However, soil C losses also increase and progressive nitrogen (N) limitation to plant growth may reduce the CO2 effect on soil C inputs with time. We compiled a data set from 131 manipulation experiments, and used meta\uffe2\uff80\uff90analysis to test the hypotheses that: (1) elevated atmospheric CO2 stimulates soil C inputs more than C losses, resulting in increasing soil C stocks; and (2) that these responses are modulated by N. Our results confirm that elevated CO2 induces a C allocation shift towards below\uffe2\uff80\uff90ground biomass compartments. However, the increased soil C inputs were offset by increased heterotrophic respiration (Rh), such that soil C content was not affected by elevated CO2. Soil N concentration strongly interacted with CO2 fumigation: the effect of elevated CO2 on fine root biomass and \uffe2\uff80\uff93production and on microbial activity increased with increasing soil N concentration, while the effect on soil C content decreased with increasing soil N concentration. These results suggest that both plant growth and microbial activity responses to elevated CO2 are modulated by N availability, and that it is essential to account for soil N concentration in C cycling analyses.</p>", "keywords": ["0301 basic medicine", "Physiology", "Plant Science", "Fine root production", "Carbon Cycle", "Trees", "Soil", "03 medical and health sciences", "Microbial respiration", "microbial respiration", "XXXXXX - Unknown", "C sequestration", "SDG 13 - Climate Action", "Biomass", "Fertilizers", "Biology", "[CO] enrichment", "2. Zero hunger", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "0303 health sciences", "biomass", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Atmosphere", "Root biomass", "Carbon Dioxide", "Nitrogen Cycle", "15. Life on land", "carbon sequestration", "N fertilization", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "nitrogen fertilizers", "roots (botany)", "13. Climate action", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment"]}, "links": [{"href": "https://doi.org/10.1111/j.1365-3040.2010.02201.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%2C%20Cell%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/j.1365-3040.2010.02201.x", "name": "item", "description": "10.1111/j.1365-3040.2010.02201.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/j.1365-3040.2010.02201.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2010-11-12T00:00:00Z"}}, {"id": "10.1515/mgr-2017-0012", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:19:55Z", "type": "Journal Article", "created": "2017-11-03", "title": "The geography of urban agriculture: New trends and challenges", "description": "Abstract                <p>In the article, which is a theoretical and conceptual introduction for the Special Issue of Moravian Geographical Reports on \uffe2\uff80\uff98New trends and challenges of urban agriculture in the context of Europe\uffe2\uff80\uff99, the authors resume and review diverging issues of urban agriculture, exploring and discussing them from a geographical perspective and in a wider context of the transformation of urban and rural spaces, urban regeneration and renewal, agricultural restructuring, multifunctionality, ecosystem services, land-use conflicts and social responsibility. After the introduction that depicts a changing role of agriculture in the context of urban and rural transformations, the current research on urban agriculture in Europe is summarised and reviewed. Then the main trends and concepts of growing and expanding urban agriculture are presented and discussed with a special emphasis on the challenges these pose to geographers.</p", "keywords": ["2. Zero hunger", "peri-urban agriculture", "Geography (General)", "Agricultura", "food gardening", "0211 other engineering and technologies", "02 engineering and technology", "urban agriculture", "15. Life on land", "Urbanismo", "12. Responsible consumption", "urban farming", "13. Climate action", "11. Sustainability", "G1-922", "food production", "europe"]}, "links": [{"href": "https://doi.org/10.1515/mgr-2017-0012"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Moravian%20Geographical%20Reports", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1515/mgr-2017-0012", "name": "item", "description": "10.1515/mgr-2017-0012", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1515/mgr-2017-0012"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-09-01T00:00:00Z"}}, {"id": "10.17182/hepdata.52983.v1/t23", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-04-04T16:20:12Z", "type": "Dataset", "title": "\"Table 23\" of \"Differential cross sections for the reactions gamma p-&gt; p eta and gamma p -&gt; p eta-prime\"", "description": "unspecifiedDifferential cross section for the W range 1.90 to 1.91 GeV.", "keywords": ["Single Differential Cross Section", "1.9-1.91", "Photoproduction", "Electron production", "GAMMA P --&gt; ETA P", "Exclusive", "DSIG/DOMEGA"], "contacts": [{"organization": "CLAS Collaboration", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.17182/hepdata.52983.v1/t23"}, {"rel": "self", "type": "application/geo+json", "title": "10.17182/hepdata.52983.v1/t23", "name": "item", "description": "10.17182/hepdata.52983.v1/t23", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.17182/hepdata.52983.v1/t23"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-01-01T00:00:00Z"}}, {"id": "10.21704/rea.v6i1-2.343", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:20:52Z", "type": "Journal Article", "created": "2016-09-08", "description": "Open AccessEn este estudio se evalu\u00f3 la biomasa a\u00e9rea en seis diferentes sistemas agroforestales de cacao (Theobroma cacao L.) asociado con especies forestales maderables y frutales\u00a0; con el prop\u00f3sito de conocer el potencial de captura de carbono por cada sistema. El estudio se realiz\u00f3 en dos diferentes sitios ubicados en la regi\u00f3n San Mart\u00edn (Provinces de San Mart\u00edn et Mariscal C\u00e1ceres). Los sistemas agroforestales estimados presentaron edades de 5, 12 y 20 a\u00f1os. En cada sistema se establecieron aleatoriamente cinco cuadrantes de 100 m2 cada uno, evalu\u00e1ndose la biomasa vegetal total existente. Para evaluar la ecuaci\u00f3n alom\u00e9trica del cacao se muestrearon 7 plantas cuyas edades variaron de 01 hasta 22 a\u00f1os. Loas resultados en captura de carbono en cada sistema agroforestal var\u00edan desde 26,2 t C ha-1para el sistema de Pachiza de 5 a\u00f1os hasta 45,07 t C ha-1del sistema agroforestal de Pachiza de 12 a\u00f1os\u00a0; As\u00ed mismo, la captura de carbono en biomasa arb\u00f3rea de los \u00e1rboles vivos, oscil\u00f3 desde 12,09 t ha-1 hasta 35,5 t ha-1, seguido por la biomasa de hojarasca que presentaron valores desde 4 t ha-1 hasta 9,97 t ha-1\u00a0; mientras la biomasa de \u00e1rboles muertos en pie y ca\u00eddos muertos presentaron valores muy variables y bajos. Los sistemas agroforestales de 12 y 20 a\u00f1os representan el 66,7% de los sistemas que presentan reservas de carbono por encima de los 40 t C ha-1\u00a0; mientras que los sistemas de 5 a\u00f1os se encuentran con reservas de carbono por debajo de los 30 t C ha-1. Los sistemas agroforestales de 5 a\u00f1os ubicados en Juanjui y Pachiza presentaron el mayor flujo de carbono anual, generando el mayor beneficio econ\u00f3mico con cr\u00e9ditos por CO2 equivalente.", "keywords": ["cacao", "sistemas agroforestales", "Horticulture", "01 natural sciences", "Agricultural and Biological Sciences", "Humanities", "Cocoa Production", "Carbono", "cr\u00e9ditos de C", "Agroforestry systems", "Biology", "0105 earth and related environmental sciences", "2. Zero hunger", "biomass", "Geography", "Life Sciences", "carbon credits", "FOS: Humanities", "15. Life on land", "Carbon", "Cacao Agroforestry Management and Conservation", "biomasa", "13. Climate action", "Theobroma", "CO\u00b2", "Art"], "contacts": [{"organization": "Concha, Juanita Y., Alegre, Julio C., Pocomucha, Vicente,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.21704/rea.v6i1-2.343"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecolog%C3%ADa%20Aplicada", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.21704/rea.v6i1-2.343", "name": "item", "description": "10.21704/rea.v6i1-2.343", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.21704/rea.v6i1-2.343"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-12-31T00:00:00Z"}}, {"id": "10.31223/x5910j", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:04Z", "type": "Journal Article", "created": "2025-02-11", "title": "Understanding Europe's Forest Harvesting Regimes", "description": "Abstract<p>European forests are being shaped by active human use and management, and by harvesting of wood in particular. Yet, our understanding of how forests are harvested across Europe is limited, as the real harvest regimes are not well described by currently available data. Here, we analyse recent harvests, as observed in permanent plots of forest inventories in 11 European countries, totaling to 182,649 plots and covering all major forest types. We (a) characterize harvest regimes through the frequency and intensity of harvest events spatially across Europe, and (b) build models for the probability and intensity of harvest events at the plot\uffe2\uff80\uff90level and examine the links to potential drivers of harvest, including the pre\uffe2\uff80\uff90harvest forest structure and composition, climatic, topographic and socio\uffe2\uff80\uff90economic factors, and past natural disturbances. The results revealed notable variation in harvest regimes across Europe, ranging from high\uffe2\uff80\uff90frequency and low\uffe2\uff80\uff90intensity harvests in eastern Central Europe to low\uffe2\uff80\uff90frequency and high\uffe2\uff80\uff90intensity harvests in the north, with different strategies emerging in regions with similar total harvest rates. The harvest regimes were strongly driven by country\uffe2\uff80\uff90level variation, emphasizing the role of national\uffe2\uff80\uff90level factors. Pre\uffe2\uff80\uff90harvest forest properties were important drivers for the intensity of harvest, whereas the probability of harvest was more related to socio\uffe2\uff80\uff90economic factors and natural disturbances. The presented quantification of the forest harvesting regimes provides much needed detail in our understanding of the contemporary forest management practices in Europe, providing a baseline against which to assess future changes in management and strengthening the knowledge\uffe2\uff80\uff90base for decision\uffe2\uff80\uff90making on European level.</p", "keywords": ["forest harvesting", "wood production", "Ecology", "land management", "forest management", "land use", "634", "timber harvest", "15. Life on land", "333", "Environmental sciences", "[SDV.EE] Life Sciences [q-bio]/Ecology", " environment", "GE1-350", "natural resources", "QH540-549.5"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2024EF005225"}, {"href": "https://doi.org/10.31223/x5910j"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earth%27s%20Future", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.31223/x5910j", "name": "item", "description": "10.31223/x5910j", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.31223/x5910j"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-09-02T00:00:00Z"}}, {"id": "10.5061/dryad.b8gtht7kg", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:21:55Z", "type": "Dataset", "created": "2023-11-27", "title": "Data from: The effect of drainage on the fine root biomass, production, and turnover in hemiboreal old-growth forests on organic soils", "description": "Open Access# The effect of drainage on the fine root biomass, production, and  turnover in hemiboreal old-growth forests on organic soils  ## #GWL _temp.csv This  file contains data on study site soil temperature and groundwater level ##  Description of the data and file structure Date - Sampling date Site -  Study object name FT - Forest type (ND - not drained, KS - drained) Year -  Sampling year Cycle - Sampling campaign number in specific sampling year  PL - Sample plot of study object (1-3) Groundwater - Groundwater level  depth from the ground surface, cm Soil_temp_10cm - Soil temperature at  10cm depth, \u00b0C Soil_temp_20cm - Soil temperature at 20cm depth, \u00b0C  Soil_temp_30cm - Soil temperature at 30cm depth, \u00b0C Soil_temp_40cm - Soil  temperature at 40cm depth, \u00b0C --- ## #Soil _data.csv This file contains  data of study site soil analysis ## Description of the data and file  structure Year - Sampling year Date - Sampling date Place - Study objects  name FT - Forest type (ND - not drained, KS - drained) Soil_cm - Soil  sampling depth Repetition - Number of repetitions (1-2) Soil_density -  Soil bulk density, g/kg C_g_kg - Carbon content in sample, g/kg N_g_kg -  Nitrogen content in sample, g/kg C_N - Carbon and Nitrogen ratio in sample  pHKCl - Soil pH Pkop_g_kg - Total Phosphorus content in sample, g/kg  K_mg_kg - Total Potassium content in sample, g/kg Ca_mg_kg - Total Calcium  content in sample, g/kg Mg_mg_kg - Total Magnesium content in sample, g/kg  --- ## #FRP _data.csv This file contains data of study site fine-root  biomass, stand taxation indices and soil analysis per study object sample  plot and fine-root fraction ## Description of the data and file structure  ID - Study site ID Place - Study object name FT - Forest type (ND - not  drained, KS - drained) Cycle - Sampling campaign number in specific  sampling year PL - Sampling plot number Fraction - Fine-root fraction by  name FRB - Fine-root biomass, t/ha FRB_BA - Fine-root biomass per basal  area Pine_yield - Pine tree growing stock, m3/ha N_ha - Tree count per ha  Spruce_yield - Spruce tree growing stock, m3/ha Shrub_percentage -  Percentage of shrubs in ground vegetation Herb_percentage - Percentage of  herbacous plants in ground vegetation D - Diameter at breast height, cm  G_m2ha - basal area, m2/ha CN - soil C and N ratio pHKCl - soil pH CgKg -  Soil Carbon (C) content, g/kg NgKg - Soil Nitrogen (N) content, g/kg ---  ## #Mean _FRB _pa _frakcijam.csv This file contains data of study site  average fine-root biomass per study object sample plot and fine-root  fraction ## Description of the data and file structure ID - Study site ID  Object - Study object name FT - Forest type (ND - not drained, KS -  drained) PL - Sampling campaign number in specific sampling year Fraction  - Fine-root fraction by name AvgFRB - Average fine-root biomass, t/ha  FRB_BA - Average fine-root biomass per basal area Sd - Standarddeviation  of average fine-root biomass n - sampling campaign count se -  Standarderror of average fine-root biomass Basal_Area - basal area, m2/ha  --- ## #PCA _analize.csv This file contains data of study site for PCA  analysis containing fine-root biomass, production and turnover, taxation  indices and soil data per sample plot ## Description of the data and file  structure ID - Study site ID Site - Study object name FT - Forest type (ND  - not drained, KS - drained) Plot - - Sampling plot number SP_FRB - Scots  pine fine-root biomass, t/ha SP_FRP - Scots pine fine-root production,  t/ha/yr SP_T - Scots pine fine-root turnover, t/yr PineFRB_BA - Scots pine  fine-root biomass per stand basal area, t/m2 NS_FRB - Norway spruce  fine-root biomass, t/ha NS_FRP - Norway spruce fine-root production,  t/ha/yr NS_T - Norway spruce fine-root turnover, t/yr SpurceFRB_BA -  Norway spruce fine-root biomass per stand basal area, t/m2 H_FRB - Herb  fine-root biomass, t/ha DS_FRB - Dwarf shrub fine-root biomass, t/ha  DS_FRP - Dwarf shub fine-root production, t/ha/yr TOT_FRP - Total  fine-root production, t/ha/yr SP_dFRB - Scots pine fine-root necromass,  t/ha NS_dFRB - Norway spruce fine-root necromass, t/ha C_g_kg - Soil  Carbon content, g/kg N_g_kg - Soil Nitrogen content, g/kg C_N - Carbon and  Nitrogen ratio in sample pHKCl - Soil pH Pkop - Total soil Phosphorous  content, g/kg Aug_bl - Soil bulk density, g/kg Dg - Diameter at breast  height, cm Hg - Tree height, m G - basal area, m2/ha Yield_1st - First  layer tree growing stock, m3/ha N_ha - Tree count per ha SP_m3ha - Pine  tree growing stock, m3/ha NS_m3ha - Spruce tree growing stock, m3/ha DS_m2  - Dwarf shrub coverage, m2 H_m2 - Herbacous plant coverage, m2 --- ##  #R _frb.csv This file contains raw data of fine-root samples per site,  sample plot, fraction and sampling depth ## Description of the data and  file structure Place - Study objects name ID - Sample ID CM - Sampling  depth, cm Fraction - Fine-root fraction ID Species - Fine-root fraction by  name Status - Fine-root status (living/dead) Weight_g - Sample weight FT -  Forest type (ND - not drained, KS - drained) FRB - Fine-root biomass, t/ja  Cycle - Sampling campaign number ID_cycle - Sample ID per sampling cycle  PL - Sampling plot number Place_pl_cm_cycle - ID containing study object  name, forest type, sampling depth and sampling cycle ## Sharing/Access  information Correspondence: Valters Samariks, Latvian State Forest  Research Institute 'Silava', Latvia, Salaspils, R\u012bgas street  111, LV-2169, Email: ; ORCID:  0000-0001-9953-0455 ## Code Code for this data file is available in  Fine_root_calculations_DRYAD.R", "keywords": ["hemiboreal", "Fine-root production", "forest drainage", "Peat", "fine-root turnover", "FOS: Agriculture", " forestry", " and fisheries"], "contacts": [{"organization": "Samariks, Valters", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.b8gtht7kg"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.b8gtht7kg", "name": "item", "description": "10.5061/dryad.b8gtht7kg", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.b8gtht7kg"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-20T00:00:00Z"}}, {"id": "10.5281/zenodo.7052807", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:24:01Z", "type": "Report", "title": "Assessment of local conditions important for NSWRM implementation. Deliverable D4.1 of the EU Horizon 2020 project OPTAIN.", "description": "<strong>Deliverable report D4.1 of the EU Horizon 2020 Project OPTAIN (Grant agreement No. 862756)</strong> <em>Description of the local conditions in case study areas important for NSWRM implementation. </em> <strong>Summary</strong> The OPTAIN project aims to identify efficient measures for the retention and reuse of water and nutrients (NSWRM - Natural/Small Water Retention Measures) in small agricultural catchments based on empirical data and scale-adapted integrated modelling approaches. Task 4.1 of the project focused on the analysis of local conditions that are important for model implementation of NSWRM and scenario design. This deliverable reports about the activities of task 4.1, which were completed in three steps: 1) issue identification, 2) possible measure selection and 3) analysis of the possibility of model implementation. Each lead of an OPTAIN case study identified and analysed its major case-study specific issues, and determined the needs for water retention within the catchment based on a questionnaire, public European wide datasets as well as local national datasets (if available). Moreover, the need for water quality improvement has been summarized and the existing yield gap was analysed. The leads of task 4.1 developed a detailed questionnaire which served a dual purpose: 1) the questions and the given answers provided a data/requirement screening, and 2) case study leads and the OPTAIN project consortium gained knowledge and an overview of the local conditions that are important to consider when developing a hydrological and water quality model and analysing the scenario results. Based on the questionnaire results, a preliminary overview about NSWRM implementation in OPTAINs model setups was derived. The final result of this analysis is presented as a matrix, where measure implementation possibility in each case study is assessed. Due to the foreseen data demanding modelling tasks of the OPTAIN project, the final selection of the modelled measures might differ, as new data sources are identified or new measurements are gathered.", "keywords": ["NSWRM", "scenarios", "H2020", "OPTAIN", "drought", "15. Life on land", "flood", "water quality", "6. Clean water", "12. Responsible consumption", "13. Climate action", "11. Sustainability", "food production", "water retention"], "contacts": [{"organization": "\u010cerkasova, Natalja, Idzelyt\u0117, Rasa,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7052807"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7052807", "name": "item", "description": "10.5281/zenodo.7052807", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7052807"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-30T00:00:00Z"}}, {"id": "10138/588015", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:25:03Z", "type": "Journal Article", "created": "2024-10-28", "title": "How to monitor the \u2018success\u2019 of agricultural sustainability: A perspective", "description": "Open AccessPeer reviewed", "keywords": ["Regenerative farming", "Food production", "Sustainable development", "Environmental sustainability", "Metric framework", "Agronomy"]}, "links": [{"href": "https://doi.org/10138/588015"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Food%20Security", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10138/588015", "name": "item", "description": "10138/588015", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10138/588015"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-12-01T00:00:00Z"}}, {"id": "11104/0277763", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:25:23Z", "type": "Journal Article", "created": "2017-11-03", "title": "The geography of urban agriculture: New trends and challenges", "description": "Abstract                <p>In the article, which is a theoretical and conceptual introduction for the Special Issue of Moravian Geographical Reports on \uffe2\uff80\uff98New trends and challenges of urban agriculture in the context of Europe\uffe2\uff80\uff99, the authors resume and review diverging issues of urban agriculture, exploring and discussing them from a geographical perspective and in a wider context of the transformation of urban and rural spaces, urban regeneration and renewal, agricultural restructuring, multifunctionality, ecosystem services, land-use conflicts and social responsibility. After the introduction that depicts a changing role of agriculture in the context of urban and rural transformations, the current research on urban agriculture in Europe is summarised and reviewed. Then the main trends and concepts of growing and expanding urban agriculture are presented and discussed with a special emphasis on the challenges these pose to geographers.</p", "keywords": ["2. Zero hunger", "peri-urban agriculture", "Geography (General)", "Agricultura", "food gardening", "0211 other engineering and technologies", "02 engineering and technology", "urban agriculture", "15. Life on land", "Urbanismo", "12. Responsible consumption", "Europe", "urban farming", "13. Climate action", "11. 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